Islanders

GP: 49 | W: 28 | L: 17 | OTL: 4 | P: 60
GF: 143 | GA: 116 | PP%: 14.49% | PK%: 86.02%
GM : Pascal Labarre | Morale : 50 | Team Overall : 62
Next Games #779 vs Comets

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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Dominik Kubalik0XX100.007039926979838967586669657371724050670
2Pontus Holmberg0X100.006937876672808664756765686366674750660
3Logan Stankoven (R)0XX98.006336876963907371747069657262647350660
4Mathieu Olivier0X100.008583676482788262536359696167683750650
5Cedric Pare0X100.007541786084837958686159605765674750620
6Josh Dunne0X100.007842715889817857655556615466684250610
7Brian Halonen0X98.006738786076867756585963576265674250610
8Arnaud Durandeau0X100.006238825871848257616056595566674750600
9Samuel Morton0X100.006237916271856158605464576265674250600
10Turner Elson0X100.006439835873748456665957555872742750600
11Damien Giroux0X98.005737866066727859655857566064664850590
12Ross Johnston0X100.007885575696727555615451575371703550590
13Gabriel Bourque0X100.006337895972718058605755545974763150590
14Dino Kambeitz0X99.007440845583748254585356595564664350590
15Jordy Bellerive0X100.006242695771808254615556535865674250580
16Jake Bean0X100.006335866776877666307160745366688150680
17Joel Hanley0X100.007043796770827266306553625073752650650
18Dysin Mayo0X100.007139726376778359305755664868704850640
19Corey Schueneman0X99.006237896372828559306454584869713650630
20Aaron Ness0X100.005837845667648655305853544674764050590
21Artem Guryev0X100.007256515491676555305253584561635750590
Scratches
1Philippe Maillet0X100.005636946466817263736562606472742750630
2Avery Hayes0X100.005836945665796455545357525862644350560
3Jaxsen Wiebe0X100.007042715679656355525157545662644350560
4Alex Kannok-Leipert0X100.007377665372637551305250544564664850570
TEAM AVERAGE99.68674479607578775953595859576769445061
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Dustin Tokarski96.00758276757473757473757476894550740
2Georgi Romanov100.00747672917372747372747365734250730
Scratches
1Garret Sparks100.00627065876160626160626171853850650
TEAM AVERAGE98.6770767184696870696870697182425071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marc Savard69667168696479CAN4651,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jake BeanIslanders (NYI)D4972936-3520508210634616.60%65120224.5561319792340110215110.00%000000.6000000044
2Philippe MailletIslanders (NYI)C4616163216801592133278712.03%583118.086511431641014954260.39%87100000.7702000334
3Brian HalonenIslanders (NYI)LW49141630142003151120398511.67%788418.045382117010141551249.23%6500010.6800000321
4Dino KambeitzIslanders (NYI)RW4913132612140393994226013.83%370014.3024625168000004042.86%4200000.7400000314
5Corey SchuenemanIslanders (NYI)D4932225130053275718415.26%28119124.3331316462300001237000.00%000000.4200000011
6Josh DunneIslanders (NYI)C49111223-1601012165105248210.48%986617.692242415901131351258.20%67700000.5300101212
7Pontus HolmbergIslanders (NYI)RW27913229100264358175415.52%1249818.48246231130002891057.33%7500000.8800000212
8Damien GirouxIslanders (NYI)C4991221-14015365383916.98%578315.9846101816700011032054.87%22600000.5412000020
9Logan StankovenIslanders (NYI)C/RW15127191010093047264225.53%425917.322356410000113261.97%7100101.4611000313
10Samuel MortonIslanders (NYI)C497111871208448625628.14%359512.16011320000000045.99%18700000.6003000110
11Arnaud DurandeauIslanders (NYI)LW4961117680113160204410.00%951310.490000100000581057.14%2800000.6600000110
12Aaron NessIslanders (NYI)D4921416910012164915304.08%4499020.22145311980000186100.00%000000.3200000011
13Mathieu OlivierIslanders (NYI)RW39610161881093526818578.82%660215.4411213880002922047.25%34500000.5301011002
14Dominik KubalikIslanders (NYI)LW/RW3351015-515524266723497.46%1238511.6825721840003601150.57%17400000.7800001110
15Turner ElsonIslanders (NYI)C49312152014032152531712.00%2467113.7100000000000037.50%800000.4500000010
16Ross JohnstonIslanders (NYI)LW365914186020483129101517.24%039711.0500000000001157.73%41400000.7000013121
17Artem GuryevIslanders (NYI)D4929112113513029416224.88%5494719.33123291660110158100.00%000000.2300100001
18Alex Kannok-LeipertIslanders (NYI)D44279277315879143914.29%2764714.72000318000036200.00%000000.2800111101
19Cedric PareIslanders (NYI)C24279-610029304911334.08%240817.03044201040002430057.65%28100000.4400000100
20Gabriel BourqueIslanders (NYI)LW4953831009263181016.13%33066.26112641000000050.57%17600000.5200000010
21Dysin MayoIslanders (NYI)D45246-4200277195910.53%122214.922131446000040000.00%000000.5400000010
22Jordy BelleriveIslanders (NYI)C49112-44012614487.14%11633.350114270000671051.76%8500000.2400000010
23Joel HanleyIslanders (NYI)D37011-21601074440.00%111544.17000214000053000.00%000000.1300000000
24Avery HayesIslanders (NYI)RW31000000001100.00%040.130001200000000.00%000000.0000000000
Team Total or Average101414224939112966165891794133037192010.68%3461423114.0440731134322274235221843271155.60%372500110.5529337222627
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Dustin TokarskiIslanders (NYI)49281640.8942.3028492310910270120.7147490221
2Georgi RomanovIslanders (NYI)50100.9291.59113003420000.0000049000
Team Total or Average54281740.8952.2729622311210690120.71474949221


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aaron NessD341990-05-18No184 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Alex Kannok-LeipertD242000-07-20No190 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arnaud DurandeauLW261999-01-14No185 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Artem GuryevD212003-05-17No225 Lbs6 ft4NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Avery HayesRW222002-10-10No175 Lbs5 ft10NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Brian HalonenLW261999-01-11No207 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cedric PareC261999-01-24No205 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Corey SchuenemanD291995-09-02No197 Lbs5 ft11NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Damien GirouxC242000-03-03No179 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dino KambeitzRW252000-01-25No212 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dominik KubalikLW/RW291995-08-21No192 Lbs6 ft2NoNoNo3UFAPro & Farm760,000$0$0$NoLink / NHL Link
Dustin TokarskiG351989-09-16No198 Lbs6 ft0NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Dysin MayoD281996-08-17No183 Lbs6 ft2NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Gabriel BourqueLW341990-09-23No206 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Garret SparksG311993-06-28No220 Lbs6 ft3NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Georgi RomanovG251999-12-15No207 Lbs6 ft5NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jake BeanD261998-06-09No191 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Jaxsen WiebeRW222002-05-16No209 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Joel HanleyD331991-06-08No186 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jordy BelleriveC251999-05-02No195 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Josh DunneC261998-12-08No211 Lbs6 ft4NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Logan StankovenC/RW212003-02-26Yes171 Lbs5 ft8NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Mathieu OlivierRW281997-02-11No222 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Philippe MailletC321992-11-07No174 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Pontus HolmbergRW251999-03-09No188 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ross JohnstonLW301994-02-18No234 Lbs6 ft5NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Samuel MortonC251999-07-28No185 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Turner ElsonC321992-09-13No191 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2827.29197 Lbs6 ft12.14486,071$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Logan StankovenDominik KubalikDamien Giroux40122
2Brian HalonenRoss JohnstonDino Kambeitz30122
3Arnaud DurandeauJosh DunneSamuel Morton20122
4Gabriel BourqueSamuel MortonLogan Stankoven10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman40122
2Artem GuryevAaron Ness30122
3Joel HanleyTurner Elson20122
4Jake BeanCorey Schueneman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Josh DunneSamuel MortonDamien Giroux60122
2Brian HalonenLogan StankovenDino Kambeitz40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman60122
2Artem GuryevAaron Ness40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Damien GirouxBrian Halonen60122
2Logan StankovenJosh Dunne40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman60122
2Artem GuryevAaron Ness40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Dunne60122Jake BeanCorey Schueneman60122
2Brian Halonen40122Artem GuryevAaron Ness40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh DunneBrian Halonen60122
2Damien GirouxSamuel Morton40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman60122
2Artem GuryevAaron Ness40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Logan StankovenDominik KubalikBrian HalonenJake BeanCorey Schueneman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Logan StankovenDominik KubalikBrian HalonenJake BeanCorey Schueneman
Extra Forwards
Normal PowerPlayPenalty Kill
Damien Giroux, Jordy Bellerive, Josh DunneDamien Giroux, Jordy BelleriveJosh Dunne
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Bean, Artem Guryev, Aaron NessCorey SchuenemanArtem Guryev, Aaron Ness
Penalty Shots
Damien Giroux, Samuel Morton, Logan Stankoven, Brian Halonen, Josh Dunne
Goalie
#1 : Dustin Tokarski, #2 : Georgi Romanov


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4960W21432493921330107134666389123
All Games
GPWLOTWOTL SOWSOLGFGA
4924173212143116
Home Games
GPWLOTWOTL SOWSOLGFGA
23101011016054
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2614721118362
Last 10 Games
WLOTWOTL SOWSOL
900010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2764014.49%2793986.02%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
431433453223664395
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
889157056.62%763142753.47%41970859.18%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12769001098347590305


Last Played Games
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
9 - 2024-09-2411Bruins3Islanders1LBoxScore
10 - 2024-09-2523Checkers4Islanders2LBoxScore
13 - 2024-09-2830Bears2Islanders4WBoxScore
16 - 2024-10-0145Islanders4Wolfpack3WBoxScore
17 - 2024-10-0258Wolfpack3Islanders1LBoxScore
22 - 2024-10-0771Islanders3Checkers2WBoxScore
23 - 2024-10-0884Islanders3Checkers2WBoxScore
27 - 2024-10-12105Penguins4Islanders3LXBoxScore
29 - 2024-10-14116Islanders1Thunderbirds4LBoxScore
34 - 2024-10-19141Islanders1Thunderbirds5LBoxScore
36 - 2024-10-21151Islanders4Bruins5LBoxScore
37 - 2024-10-22158Bruins3Islanders1LBoxScore
40 - 2024-10-25181Bears2Islanders3WBoxScore
43 - 2024-10-28191Islanders8Bears1WBoxScore
44 - 2024-10-29204Islanders0Penguins4LBoxScore
50 - 2024-11-04233Islanders0Penguins2LBoxScore
51 - 2024-11-05246Checkers1Islanders2WBoxScore
52 - 2024-11-06255Islanders3Wolfpack2WBoxScore
58 - 2024-11-12283Senators2Islanders1LBoxScore
59 - 2024-11-13293Senators0Islanders2WBoxScore
62 - 2024-11-16301Wolfpack3Islanders4WXBoxScore
64 - 2024-11-18314Islanders1Thunderbirds2LXBoxScore
65 - 2024-11-19324Islanders4Bruins3WXBoxScore
69 - 2024-11-23344Bruins1Islanders4WBoxScore
71 - 2024-11-25355Islanders4Bruins3WXBoxScore
73 - 2024-11-27375Rocket1Islanders0LBoxScore
79 - 2024-12-03410Islanders7Checkers2WBoxScore
80 - 2024-12-04425Islanders4Checkers2WBoxScore
85 - 2024-12-09429Bruins4Islanders3LBoxScore
86 - 2024-12-10447Islanders1Thunderbirds4LBoxScore
93 - 2024-12-17482Americans1Islanders2WBoxScore
94 - 2024-12-18493Wolfpack3Islanders1LBoxScore
99 - 2024-12-23514Islanders2Bruins5LBoxScore
101 - 2024-12-25538Phantoms3Islanders2LXXBoxScore
104 - 2024-12-28546Thunderbirds4Islanders2LBoxScore
106 - 2024-12-30558Crunch0Islanders6WBoxScore
107 - 2024-12-31567Thunderbirds3Islanders0LBoxScore
109 - 2025-01-02589Islanders2Thunderbirds3LXXBoxScore
111 - 2025-01-04594Islanders3Comets1WBoxScore
113 - 2025-01-06603Islanders6Crunch1WBoxScore
114 - 2025-01-07620Islanders2Phantoms1WBoxScore
118 - 2025-01-11635Phantoms1Islanders7WBoxScore
120 - 2025-01-13646Islanders6Bears1WBoxScore
121 - 2025-01-14664Islanders6Bears1WBoxScore
127 - 2025-01-20681Islanders2Penguins1WBoxScore
128 - 2025-01-21694Checkers3Islanders5WBoxScore
132 - 2025-01-25713Islanders3Wolfpack2WXXBoxScore
135 - 2025-01-28731Bruins3Islanders4WBoxScore
136 - 2025-01-29744Islanders3Bruins0WBoxScore
142 - 2025-02-04779Comets-Islanders-
143 - 2025-02-05794Thunderbirds-Islanders-
146 - 2025-02-08806Bruins-Islanders-
148 - 2025-02-10819Islanders-Phantoms-
149 - 2025-02-11833Islanders-Phantoms-
153 - 2025-02-15849Islanders-Wolfpack-
156 - 2025-02-18875Marlies-Islanders-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19884Thunderbirds-Islanders-
160 - 2025-02-22894Islanders-Rocket-
162 - 2025-02-24904Islanders-Senators-
163 - 2025-02-25914Islanders-Senators-
170 - 2025-03-04960Thunderbirds-Islanders-
171 - 2025-03-05972Penguins-Islanders-
174 - 2025-03-08982Bears-Islanders-
176 - 2025-03-10996Islanders-Americans-
178 - 2025-03-121020Islanders-Marlies-
181 - 2025-03-151028Phantoms-Islanders-
184 - 2025-03-181052Checkers-Islanders-
188 - 2025-03-221072Wolfpack-Islanders-
191 - 2025-03-251094Wolfpack-Islanders-
192 - 2025-03-261107Penguins-Islanders-
197 - 2025-03-311124Islanders-Wolfpack-
198 - 2025-04-011144Islanders-Bruins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance43,02021,926
Attendance PCT93.52%95.33%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
13 2824 - 94.12% 70,193$1,614,437$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
770,025$ 136,100$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 86,610$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
912,508$ 63 5,709$ 359,667$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
12824424053422651561094121130232013178534123110302213478561112654787433801088068222706977877191821510136218474285913.79%5997387.81%71521247861.38%1387242957.10%686110262.25%225516091734570979518
137640290321123915881382014031001217249382015001111188632912394296681120987859201206976526521685482106415234196615.75%4406485.45%61344231857.98%1228227154.07%600106256.50%200614261658534917477
147634240541817113239382011021138763243814130330584691592171314485113053674518050580618577171848762411023766316.76%2382091.60%41271224256.69%1152220152.34%573103455.42%195913861728535947498
1582502104115247160874127901013121744741231203102126864011624745470101401047464237307917787811915558106915434316414.85%4365886.70%31648266061.95%1446247758.38%683114459.70%220515851770573985517
168244240343426817791412212012041439548412212022301258243108268478746260939376233507187738151830503106614774838417.39%4246484.91%21605261661.35%1370235658.15%767121862.97%222016011775554973516
177242220131325215399362111002111338350362111011021197049942524787300100101836620130714640645163945197614533739024.13%4136284.99%21317214561.40%1239212858.22%665106462.50%201914631474479855465
18723922035302131427136211000320110684236181203210103742995213381594010080725518220595640572166346799713413666016.39%4225287.68%91143207855.00%1142218552.27%51995454.40%195114031543488851458
194924170321214311627231010011016054626147021118362216014324939223366439513304314334532210713466638912764014.49%2793986.02%2889157056.62%763142753.47%41970859.18%12769001098347590305
Total Regular Season59131718302724152517981194604294162900101371290658731929715593017118138926072857671798326150599763670158643815917431522553414783133423804782111177315252616.69%325143286.71%35107381810759.30%97271747455.67%4912828659.28%158951137612783408371003757
Playoff
1512750000030255633000001616064200000149514305888000910927408084913178320622563914.29%821186.59%115732548.31%20542648.12%9116854.17%2891973219615475
1715870000035287734000001313085300000221571635639802012129333011899106354127232273711622.54%961584.38%019340148.13%25351848.84%10921750.23%34923838411718891
18169700000332767610000019811936000001419-51833639612011912349011910011635488205286871314.94%86693.02%124647951.36%24449649.19%10221946.58%396270395125205103
Total Playoff43241900000988018201280000048371123121100000504374898184282140323130956031728331310252986437842213817.19%2643287.88%2596120549.46%702144048.75%30260450.00%10367051101339548270